Download TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI

What you would learn in TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI course?

Google has recently released TensorFlow 2.0. It has many features that make it easier to manage model development, maintenance processes, and performance...

The reason for TensorFlow 2.0?

If you're an expert or an inexperienced user, TensorFlow 2.0 is an end-to-end platform that makes it simple to create and implement models using ML.

With TensorFlow 2.0,

1.) Making the Model is extremely simple

2.) Robust ML production anywhere

3.) Experiments that are powerful for research

In this course, you will be able to have the entire understanding of TensorFlow 2.0from the very Beginning!

List of Projects

1. Project: CNN for Digit Recognition

Project 2. CNN in Breast Cancer Detection

Project 3 CNN in Predicting Customer Satisfaction of Bank Customers

Project 4: CNN for Credit Card Fraud Detection

Project 5: RNN - LSTM for IMDB Review Classification

Project 6. the Google Stock Price prediction using RNN and the LSTM

The main topics covered in this Course

Section 1: Introduction (Section 1)

Part 2: Artificial Neural Networks (Section 2 - Section 4)

Part 3: Convolutional Neural Networks (Section 5 - Section 11)

Part 4: Recurrent Neural Networks (Section 12 - Section 15)

Part 5: Transfer Learning

Part 6: Autoencoders

Part 7: Natural Language Processing (Section 16)

Part 8: Data Analysis with Numpy, Pandas and Data Visualization using Matplotlib (Section 17 - Section 19)

Requirements

• Python Programming Basics
• Machine Learning Basics

Who should this Course be intended for:

• Anyone who is looking to begin an occupation in the fields of Data Science
• Anyone passionate about Deep Learning and Artificial Intelligence

Course Content:

• Complete understanding of TensorFlow 2.0 from Scratch
• Artificial Neural Networks (ANNs)
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Transfer Learning
• Autoencoders
• Natural Language Processing
• Data Analysis using Numpy, Pandas, and Data Visualization using Matplotlib

Download TensorFlow 2.0 Masterclass: Hands-On Deep Learning and AI from below links NOW!